Actuarial Data Scientist-Remote

Mutual of Omaha; United States; On-site; USD 99,000 - 170,000; Full time

Benefits offered by this job

401(k) plan with company match

Vacation time and paid holidays

Personal time off

Job summary

Mutual of Omaha is seeking an Actuarial Data Scientist who blends actuarial expertise with machine learning to improve pricing, forecasting, risk assessment, and business decisions. You will develop predictive models, analyze large datasets, and translate insights into actionable recommendations.

The role emphasizes collaboration with actuarial, finance, underwriting, and product teams, remote work allowed within the United States, and opportunities to work with modern data tools.

Qualifications

• Bachelor’s degree in Actuarial Science, Statistics, Mathematics, Data Science, Computer Science, or related field.
• 5+ years of experience in actuarial analytics, data science, insurance analytics, or related field.
• Strong proficiency in Python, Snowflake, and SQL, technical experience.
• Experience with predictive modeling and statistical analysis.
• Knowledge of insurance products, actuarial principles, and risk modeling.
• Excellent problem-solving and communication skills.

Responsibilities

• Develop and maintain predictive models for pricing, reserving, underwriting, risk management, and forecasting.
• Analyze large structured and unstructured datasets to identify trends, risks, opportunities, and actionable business insights.
• Consult with cross-functional teams to understand business challenges, define analytical approaches, and recommend data-driven solutions that drive measurable outcomes.
• Collaborate with actuarial, finance, underwriting, and product teams on strategic initiatives, while supporting experience studies, profitability assessments, scenario analyses, and regulatory and financial reporting requirements.
• Design and automate reporting and analytical processes.
• Communicate technical findings to both technical and non-technical stakeholders.
• Continuously evaluate emerging technologies and modeling approaches.

Skills

Python

Snowflake

SQL

Predictive modeling

Statistical analysis

Data science

Communication skills

Collaboration

CI/CD workflows

Remote work

Education

Bachelor’s degree in Actuarial Science, Statistics, Mathematics, Data Science, Computer Science, or related field

Tools

Tableau

Power BI

Python

Snowflake

SQL

Job description

We are seeking an innovative and analytical Actuarial Data Scientist to join our team. This role combines actuarial expertise, statistical modeling, and advanced data science techniques to improve pricing, forecasting, risk assessment, and business decision-making. The ideal candidate is comfortable working with large datasets, building predictive models, and translating complex analytics into actionable insights

WHAT WE CAN OFFER YOU:

• Estimated Salary (Levels have variable responsibilities and qualifications):
  • Data Scientist: $99,000-$133,500, plus annual bonus opportunity.
  • Senior Data Scientist: $112,000-$151,000, plus annual bonus opportunity.
  • Principal Data Scientist: $125,000-$169,500, plus annual bonus opportunity.
• 401(k) plan with a 2% company contribution and 6% company match.
• Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.
• Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.
  

WHAT YOU'LL DO:

• Develop and maintain predictive models and apply statistical and machine learning techniques to support pricing, reserving, underwriting, risk management, and forecasting.

Analyze large structured and unstructured datasets to identify trends, risks, opportunities, and actionable business insights.

Consult with cross-functional teams to understand business challenges, define analytical approaches, and recommend data-driven solutions that drive measurable outcomes.

Collaborate with actuarial, finance, underwriting, and product teams on strategic initiatives, while supporting experience studies, profitability assessments, scenario analyses, and regulatory and financial reporting requirements.

Design and automate reporting and analytical processes.

Communicate technical findings to both technical and non-technical stakeholders.

Continuously evaluate emerging technologies and modeling approaches.

WHAT YOU’LL BRING:

• Bachelor’s degree in Actuarial Science, Statistics, Mathematics, Data Science, Computer Science, or related field

5+ years of experience in actuarial analytics, data science, insurance analytics, or related field

Strong proficiency in Python, Snowflake, and SQL, technical experience.

Experience with predictive modeling and statistical analysis

Knowledge of insurance products, actuarial principles, and risk modeling

Excellent problem-solving and communication skills

You promote a collaborative culture, value different ideas and opinions, and listen courageously, remaining curious in all that you do.

Able to work remotely with access to a high-speed internet connection and located in the United States or Puerto Rico

PREFERRED:

• Experience with version control and collaborative development workflows (e.g., Git/GitHub) using modern development environments such as Visual Studio Code.

Familiarity with Continuous Integration and Continuous Deployment (CI/CD) pipelines

Experience with machine learning frameworks and cloud platforms

Strong proficiency in Python, Snowflake, and SQL, technical experience

Familiarity with Tableau, Power BI, or other visualization tools